The main contribution of this dissertation includes:1) Survey the current algorithms of classification pattern.
总结了目前分类模式中常用的方法。
Pattern classification is a kind of technology used in a lot of project fields including automatic control monitor, image recognition, troubled diagnose, supplies compound, medical diagnosis, etc.
模式分类是许多工程领域如自控监测、图像识别、故障诊断、物料配制、医疗诊断等领域广泛应用的一种关键技术。
The fault diagnosis of power equipment can be looked as pattern classification problem. Each fault of power equipment is corresponding to a set of traits.
电力设备的故障诊断可以看成一个模式分类问题，每一个电力设备故障对应一组特征集。
The extracting process is to throw off the useless information and look for the most efficient signal feature to form a pattern feature vectors for classification with mathematics tools.
特征提取的依据是利用有关数学工具，去掉对分类无用的信息，寻找最有效的信号特征来构成用于分类识别的模式特征向量。
Aiming at solving the complicated non-linear pattern classification problem of protein secondary structure prediction, a new method based on radial basis function is proposed.
文章针对蛋白质二级结构预测这一复杂非线性模式分类问题，提出了基于径向基函数的预测方法。
The classification and identification of communication signal is a typical statistical pattern identification.
通信信号的分类识别是一种典型的统计模式识别问题。
Aimed at the pattern classification problems relating to time process, a neural network model named self-organization process neural network is brought forward in this paper.
针对与时间过程有关的模式分类问题，提出了一种自组织过程神经元网络模型。
Pattern classification was an important part of the RBF neural network application.
模式分类是RBF神经网络应用的一个重要方面。
The underline idea is to use the feature information sufficiently and to design the DTD with pattern classification method.
主要的思想是充分地利用特征信息以及用模式识别方法来设计DTD。
The rock quality evaluation can be taken as a pattern recognition or classification problem.
岩体质量评价问题可以认为是一个模式识别或分类问题。
Gas turbogenerator fault diagnosis can be treated as a pattern classification task.
燃气轮发电机组的故障诊断，实质上是一个模式分类问题。
Several major kinds of data mining methods, including characterization, classification, association rule, clustering, outlier detection, pattern matching, data visualization, and so on.
常用的数据挖掘方法包括描述、分类、关联规则、聚类、孤立点检测、模式匹配、数据可视化等。
The theory of SVM is studied at first, then an ameliorated RBF kernel function is presented, based on which an improved kernel function pattern classification method of SVM is put forward.
首先分析了支持向量机原理，随后引入一种改进的径向基核函数，在此基础上，提出了一种改进核函数的SVM模式分类方法。
Some key issues of pattern classification for Boolean vector data are put forward and studied in the dissertation, and research results are applied into TCM diagnosis scale development.
论文提出和研究了布尔向量数据模式分类中的关键问题，并将研究结果应用于中医学诊断量表研制当中。
It has payed great attention to effective training of feedforward neural networks when they are used for pattern classification.
前向网络在用于模式分类时，其网络的有效训练一直是一个受到关注的问题。
The rough set concept can be of some importance, primarily in some branches of artificial intelligence, such as reasoning, automatic classification, pattern recognition, learning algorithms, etc.
粗糙集理论最初在人工智能的某些分支，例如推理，自动分类，模式识别，学习算法等的研究中是很重要的。
Then damage identification of severity of bolt looseness was studied by utilizing the pattern classification function of the BP neural network.
然后利用BP神经网络的模式分类功能，进行了螺栓松动程度的损伤识别研究。
The ratio reflects the degree of anisotropy of trabecular patterns, and is successfully used in our pattern classification.
比值反映了骨小梁模式各向异性的程度，并被成功用于模式分类。
According to two dimension classification figure of pattern recognition, catalysts with various activities have been well predicted.
根据模式识别二维分类图，很好地预报了不同活性的催化剂。
Advanced algorithms of image processing and pattern recognition are adopted to improve detection rate and classification rate of defects.
同时，系统采用了先进的图像处理和模式识别算法，以提高系统对缺陷的检出率和识别率。
The infrared pattern recognition system consists of image preprocessing, feature extraction and pattern classification.
红外图像模式识别系统，由图像预处理、特征提取及模式分类组成。
The computer-aided part classification system based on the pattern recognition can speedily classify parts correctly.
基于模式识别的计算机辅助零件分类系统，可以对零件进行迅速、准确地分类。
In this paper we look into the application of moment function and neural network in feature extraction and pattern classification of image recognition respectively.
本文主要研究了矩函数和神经网络分别在图像识别的特征提取和模式分类方面的应用。
Face recognition normally be regarded as have three processes that are face detection, features extraction and pattern classification.
人脸识别一般分为人脸检测、特征抽取和模式分类三个部分。
The paper introduces the process of voice pattern recognition, including the method for pre-processing, extraction of feature and classification of pattern.
该文主要介绍了在声音模式识别的一般过程，其中包括声信号预处理、特征提取、模式分类过程的方法。
In contrast, the reduced expression of the LO gene had no relation to histological classification, invasion pattern, tumor size, and number of metastasis lymph nodes(P >0.05).
该基因的表达与肿瘤组织学分型、浸润方式、肿瘤大小及淋巴结转移个数等无关（P>0.05）。
Part II describes algorithmic aspects of speech recognition systems including pattern classification, search algorithms, stochastic modelling, and language modelling techniques.
第二部分讲述语音识别系统中的有关演算法，包括模式分类，查找演算法，随机模型，语言模型等技术。
Part II describes algorithmic aspects of speech recognition systems including pattern classification, search algorithms, stochastic modelling, and language modelling techniques.
第二部分讲述语音识别系统中的有关演算法，包括模式分类，查找演算法，随机模型，语言模型等技术。
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